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IET Computer Vision

Issue 2 • June 2009

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Displaying Results 1 - 5 of 5
  • Special Issue on 3D Face Processing

    Publication Year: 2009, Page(s):47 - 48
    IEEE is not the copyright holder of this material | PDF file iconPDF (70 KB)
    Freely Available from IEEE
  • Adaptive colour classification for structured light systems

    Publication Year: 2009, Page(s):49 - 59
    Cited by:  Papers (6)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1035 KB)

    The authors present an adaptive colour classification method as well as specialised low-level image processing algorithms. With this approach the authors achieve high-quality 3D reconstructions with a single-shot structured light system without the need of dark laboratory environments. The main focus of the presented work lies in the enhancement of the robustness with respect to environment illumi... View full abstract»

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  • Relating intensities with three-dimensional facial shape using partial least squares

    Publication Year: 2009, Page(s):60 - 73
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1542 KB)

    The authors apply partial least squares regression to predict three-dimensional (3D) face shape from a single image. PLS describes the relationship between independent (intensity images) and dependent (3D shape) variables by seeking directions in the space of independent variables that are associated with large variations in the space of dependent variables. We use this idea to construct statistic... View full abstract»

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  • Real-time identification using a canonical face depth map

    Publication Year: 2009, Page(s):74 - 92
    Cited by:  Papers (2)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (974 KB)

    A practical identification system based on 3D face scanning is presented. The speed of comparing a probe scan to the gallery is enabled by scan normalisation followed by extraction of higher level features. Our canonical face depth map (CFDM) is a standardised representation for three-dimensional (3D) face data in a face-based coordinate system. Our experiments demonstrate that the CFDM normalisat... View full abstract»

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  • Face tracking and pose estimation with automatic three-dimensional model construction

    Publication Year: 2009, Page(s):93 - 102
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (682 KB)

    A method for robustly tracking and estimating the face pose of a person using stereo vision is presented. The method is invariant to identity and does not require previous training. A face model is automatically initialised and constructed online: a fixed point distribution is superposed over the face when it is frontal to the cameras, and several appropriate points close to those locations are ch... View full abstract»

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Aims & Scope

IET Computer Vision seeks original research papers in a wide range of areas of computer vision. The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in Computer Vision.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Majid Mirmehdi
University of Bristol
UK

Publisher
Editorial Assistant
IET Research Journals
Michael Faraday House
Six Hills Way
Stevenage  SG1 2AY  SG1 2AY  United Kingdom
iet_cvi@theiet.org